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02274nam a22005535i 4500 |
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978-3-540-31106-5 |
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DE-He213 |
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20151204153831.0 |
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cr nn 008mamaa |
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100301s2006 gw | s |||| 0|eng d |
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|a 9783540311065
|9 978-3-540-31106-5
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|a 10.1007/3-540-31106-8
|2 doi
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|d GrThAP
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|a TJ807-830
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|a THX
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|a SCI024000
|2 bisacsh
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|a 621.042
|2 23
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|a Lange, Matthias.
|e author.
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|a Physical Approach to Short-Term Wind Power Prediction
|h [electronic resource] /
|c by Matthias Lange, Ulrich Focken.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2006.
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|a XII, 208 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
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|a text file
|b PDF
|2 rda
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|a Overview of Wind Power Prediction Systems -- Foundations of Physical Prediction Models -- Physical Wind Power Prediction Systems -- Data -- Assessment of the Prediction Accuracy -- Correction of Wind Profiles Due to Thermal Stratification -- Assessment of Wind Speed Dependent Prediction Error -- Relating the Forecast Error to Meteorological Situations -- Smoothing Effects in Regional Power Prediction -- Outlook.
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|a Engineering.
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|a Renewable energy resources.
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|a Atmospheric sciences.
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|a Continuum physics.
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|a Power electronics.
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|a Renewable energy sources.
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|a Alternate energy sources.
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|a Green energy industries.
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|a Environmental sciences.
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|a Engineering.
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|a Renewable and Green Energy.
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|a Power Electronics, Electrical Machines and Networks.
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|a Atmospheric Sciences.
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|a Classical Continuum Physics.
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|a Environmental Physics.
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|a Renewable and Green Energy.
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|a Focken, Ulrich.
|e author.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783540256625
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|u http://dx.doi.org/10.1007/3-540-31106-8
|z Full Text via HEAL-Link
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|a ZDB-2-ENG
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|a Engineering (Springer-11647)
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